Carlos Ortega

Hello, Firstly thanks a lot for your package. I think it is just the only one that allows to calulate `drift concept` between two dataset. I plan to use it...

Fitted and train error...

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Hi Matt, Thanks for this package, as well as, the whole time series ecosystem you are building!. Is it a way to get the fitted values when training a model...

[tglkmeans] - Better finding cluster centers

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Hi Emil, Thanks for your detailed description about the lower speed of `tglkmeans` ( #62 ). The issue about the speed is something that can be corrected when using `tglkmeans`...

[New Engine]: Consider fast (Rcpp), mini-batch alternatives for k-Means and another clustering (package ClusteR).

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Hi Emil, Package [`ClusteR`](https://cloud.r-project.org/web/packages/ClusterR/vignettes/the_clusterR_package.html) has some other alternatives for k-means: - Fast implementation: _KMeans_arma_ and _KMeans_rcpp_. - _KMeans-mini-batch_ for processing big files. And for some other clustering approaches: - _k-medoids_....

[New Feature]: "cube" method for balanced sampling.

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Hi Emil, Thanks for your work on this package. ## Feature I recently discovered this balance sampling method `cube` ([paper](https://www.researchgate.net/publication/5207341_Efficient_balanced_sampling_The_cube_method)). I think it could be very nice to have it...

Hi, It could be useful to have a vignette pdf available here in GitHub although you cannot include in your package due to CRAN restrictions. The old vignette you had,...

Hi Mark, I have just found that `.mutate()` function description is not available in the list of functions. - https://tidypolars.readthedocs.io/en/latest/reference.html Thanks, Carlos.